{"id":"W2466746677","doi":"10.1159/000446770","title":"Altered Superficial White Matter on Tractography MRI in Alzheimer's Disease","year":2016,"lang":"en","type":"article","venue":"Dementia and Geriatric Cognitive Disorders Extra","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston General Hospital; Queen's University; University of Toronto","funders":"","keywords":"White matter; Fractional anisotropy; Diffusion MRI; Tractography; Hyperintensity; Psychology; Stroop effect; Magnetic resonance imaging; Cognitive decline; Alzheimer's disease; Frontal lobe; Pathology; Neuroscience; Medicine; Cognition; Disease; Dementia; Radiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005297196,0.0001715504,0.0001682567,0.000232442,0.00007073996,0.0000153447,0.0000476436,0.00003676247,0.0003263675],"category_scores_gemma":[0.00001385651,0.0001306615,0.00008805987,0.0002577696,0.00009302505,0.00008972187,0.00002674462,0.00009979144,0.00003023414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006271473,"about_ca_system_score_gemma":0.00001953021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008122038,"about_ca_topic_score_gemma":0.000007896305,"domain_scores_codex":[0.9989849,0.00002997926,0.0002063189,0.0004085747,0.0001240587,0.0002462157],"domain_scores_gemma":[0.9995519,0.00007451215,0.00005143425,0.0001498407,0.00003666983,0.0001356706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004245935,0.0004825234,0.9317933,0.00001624801,0.00007463404,0.00001065209,0.00006905079,2.424855e-7,0.000463138,0.0002687001,0.001591649,0.06480526],"study_design_scores_gemma":[0.002012546,0.0001346735,0.990786,0.00008500583,0.0003558223,0.000002547193,0.00006238302,0.00001534824,0.0001619568,0.002109538,0.004072613,0.000201524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578099,0.00155695,0.02227822,0.01333519,0.00009412922,0.001492062,0.0001711421,0.0001338703,0.00312858],"genre_scores_gemma":[0.9969601,0.001369726,0.0003126317,0.001012116,0.00006586825,0.000176788,0.00003913797,0.00002541741,0.00003823153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06460374,"threshold_uncertainty_score":0.532822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02363189521748272,"score_gpt":0.3012774174828797,"score_spread":0.277645522265397,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}